Are you ready to identify new opportunities and bring forth new process improvements to help automate the functions for new technology platforms Our team is a highly-collaborative inclusive environment where we value relationship-building, strategic thinking and solution-oriented members.
As a Data Domain Architect Associate within the Analytics Solutions and Delivery (AS&D) team within Workforce Planning, you will be responsible for delivering Data automation and visualization that supports multiple Workforce Planning functions.
Job Responsibilities:
- Contribute to data mining architectures, modeling standards, reporting, and data analysis methodologies and perform in depth analysis to resolve a business problem by employing the appropriate tools available in the enterprise
- Identify new opportunities to bring new process improvements and bring critical skillset to automate the functions on new technology platforms.
- Communicate data findings through engaging stories that are easy to understand
- Quickly assesses the big picture in complex situations and identify what is critical and implement rapid prototyping & deployment of existing capability to the target state platform.
- Work with business domain experts to identify data relevant for analysis
- Develop new analytical methods and/or tools as required
- Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements
- Build test scenarios and assist in UAT.
- Develop and maintain comprehensive documentation for data processes and workflows.
Required Qualifications, Capabilities, and Skills:
- Hands on experience for data pull using SQL, SQL tuning, data validation, dimensional and relational data modeling.
- Understanding and hands on experience of designing and implementing ETL processes
- Experience using Alteryx, delivering reports and insights, data analytics inference, and visualizations to communicate with partners and stakeholders
- Experience on Data Migration projects. (Snowflake/Databricks)
- Experience with Python, PySpark, and microservices (AWS)
- Demonstrated proficiency with Microsoft Office (Excel, PowerPoint)
- Exposure to cloud (AWS/Azure) architecture and Data Lake
- Strong problem-solving skills and attention to detail.
Preferred Qualifications, Capabilities, and Skills:
- Bachelor's Degree with 6+ years or Master's+ with 4+ years of experience operating as reporting and analytics professional with background in either Computer Science, MCA, Statistics, Engineering, Mathematics, Information Science, or related disciplines
